February 1st, 2012: registration opens
June 30th, 2012: deadline for submission of the lessons learned document (via email to Robert Gregory)
July 12th and 13th, 2012: two-day seminar in room 7.153
Course content at a glance:
This course provides an overview of quantitative research methods and techniques in business and IS research. First principles, such as statistical models, hypothesis testing, and correlations are discussed as a basis for an in-depth treatment of regressions. A regression exercise is built into the course outline. Afterwards, students will be introduced to ANOVA, following by another exercise. Finally, more advanced topics such as mediation and moderator analysis as well as biases will be discussed. Overall, this course is meant to provide an overview and general introduction into quantitative business research.
- Understand the basics of quantitative IS and business research, including statistical models, measures of central tendency and variability, normal distributions and deviations from normality, standard errors and confidence intervals, hypothesis testing, and more
- Be able to conduct a regression analysis, including distinguishing multiple regression from simple regression, understanding regression analysis terminology, assessing goodness of fit, alternative regression methods, assessing the regression model, regression assumptions, and more
- Be able to analyze variance, including distinguishing between ANOVA, ANCOVA, MANOVA, and MANCOVA, understand ANOVA as regression, dummy coding, computing the F-ratio, ANOVA assumptions, discerning differences between groups, and more
- Be able to conduct a mediation and moderation analysis, including an understanding of what mediation and moderation are, how to test for it, conditions for that, assumptions, and more
- Understand and cope with two key biases: common method and non-response.
Registration period starts on February 1st, 2012. Student applicants will be selected on a "first come first serve" basis. For application, please send an email to Dr. Robert Wayne Gregory, indicating your name, student identification number, the chair/doctoral father, and further contact details. Please note that registering for this course applies agreeing with the following course requirements:
- Full participation in the two-day seminar as noted in the following course timeline.
- Delivery of a summary sheet, documenting the results of a pre-course study of the literature. Students will be provided with a readings list that will serve to prepare for this course. In particular, with the help of the detailed course outline (to be downloaded above) as well as the readings list (a physical copy of all readings is provided at the chair of e-finance and digital markets), students are asked to prepare for the course and document their "lessons learned" with regards to the topics in the course outline. For orientation, the documentation of course preparation should be approximately 10 pages and should illustrate to the course organizers that the participant has thoroughly prepared for this course and is prepared to ask detailed questions and engage in an interactive manner with the instructor during the two-day seminar.